Results 31 to 40 of about 379,717 (269)
An Adaptative Reference Vector Based Evolutionary Algorithm for Many-Objective Optimization
IEEE Access, 2019 Recent studies have shown difficulties in balancing convergence and diversity for many-objective optimization problems with various types of Pareto fronts.
Junhua Li, Guoyu Chen, Ming Li, Hao Chen
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Improved Deep Multi-Patch Hierarchical Network With Nested Module for Dynamic Scene Deblurring
IEEE Access, 2020 Dynamic scene deblurring is a significant technique in the field of computer vision. The multi-scale strategy has been successfully extended to the deep end-to-end learning-based deblurring task.
Zunjin Zhao +3 more
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Blur Invariants for Image Recognition
International Journal of Computer Vision, 2023 AbstractBlur is an image degradation that makes object recognition challenging. Restoration approaches solve this problem via image deblurring, deep learning methods rely on the augmentation of training sets. Invariants with respect to blur offer an alternative way of describing and recognising blurred images without any deblurring and data ...
Jan Flusser +4 more
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IEEE Access, 2018 The extraction of features from the fully connected layer of a convolutional neural network (CNN) model is widely used for image representation. However, the features obtained by the convolutional layers are seldom investigated due to their high ...
Na Liu +5 more
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IET Image Processing, 2021 Steganography, a branch of data hiding techniques aims to hide confidential information within any digital media by obscuring the existence of hidden information. On the contrary, steganalysis aims to detect steganography.
Arivazhagan Selvaraj +3 more
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Altered resting-state electroencephalography microstate characteristics in young male smokers
Frontiers in Psychiatry, 2022 The development of nicotine addiction was associated with the abnormalities of intrinsic functional networks during the resting state in young adult smokers.
Xiaojian Li +12 more
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Face recognition in hyperspectral images [PDF]
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003 Hyperspectral cameras provide useful discriminants for human face recognition that cannot be obtained by other imaging methods. We examine the utility of using near-infrared hyperspectral images for the recognition of faces over a database of 200 subjects. The hyperspectral images were collected using a CCD camera equipped with a liquid crystal tunable
Pan, Zhihong +3 more
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IEEE Access, 2019 In this study unrelated parallel machine scheduling problem (UPMSP) with preventive maintenance (PM) and sequence dependent setup times (SDST) is investigated.
Mei Wang, Guohua Pan
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An Improved Tabu Search Algorithm for the Stochastic Vehicle Routing Problem With Soft Time Windows
IEEE Access, 2020 In real-world environments, vehicle travel and service time will be affected by unpredictable factors and present a random state. Because of this situation, this article proposes the vehicle routing problem with soft time windows and stochastic travel ...
Guoming Li, Junhua Li
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Single-molecule recognition imaging microscopy [PDF]
Proceedings of the National Academy of Sciences, 2004 Atomic force microscopy is a powerful and widely used imaging technique that can visualize single molecules and follow processes at the single-molecule level both in air and in solution. For maximum usefulness in biological applications, atomic force microscopy needs to be able to identify specific types of molecules in an image, much as fluorescent ...
C, Stroh +8 more
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